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How can CIOs protect Personal Identifiable Information (PII) for a new class of data consumers?

CIO Business Intelligence

However, they face a significant challenge in ensuring privacy due to sensitive Personally Identifiable Information (PII) in most enterprise datasets. Enter the new class ML data scientists require large quantities of data to train machine learning models. Safeguarding PII is not a new problem.

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12 data science certifications that will pay off

CIO Business Intelligence

Cost: $180 per exam Location: Online Duration: Self-paced Expiration: Credentials do not expire SAS Certified Advanced Analytics Professional The SAS Certified Advanced Analytics Professional credential validates your ability to analyze big data with a variety of statistical analysis and predictive modeling techniques.

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11 most in-demand gen AI jobs companies are hiring for

CIO Business Intelligence

Data scientist As companies embrace gen AI, they need data scientists to help drive better insights from customer and business data using analytics and AI. Deep learning is a subset of AI , and vital to the development of gen AI tools and resources in the enterprise.

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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

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What is predictive analytics? Transforming data into future insights

CIO Business Intelligence

Models can be designed, for instance, to discover relationships between various behavior factors. Such models enable the assessment of either the promise or risk presented by a particular set of conditions, guiding informed decision-making across various categories of supply chain and procurement events.

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Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. BI Tools And Applications. Source: mathworks.com.

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.